CVE-2024-48983

Nov. 25, 2024, 9:15 p.m.

7.5
High

Description

An issue was discovered in MBed OS 6.16.0. During processing of HCI packets, the software dynamically determines the length of the packet data by reading 2 bytes from the packet header. A buffer is then allocated to contain the entire packet, the size of which is calculated as the length of the packet body determined earlier plus the header length. WsfMsgAlloc then increments this again by sizeof(wsfMsg_t). This may cause an integer overflow that results in the buffer being significantly too small to contain the entire packet. This may cause a buffer overflow of up to 65 KB . This bug is trivial to exploit for a denial of service but can generally not be exploited further because the exploitable buffer is dynamically allocated.

Product(s) Impacted

Vendor Product Versions
Arm
  • Mbed
  • 6.16.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-190
Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
o arm mbed 6.16.0 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: Nov. 20, 2024, 8:15 p.m.
Last Modified: Nov. 25, 2024, 9:15 p.m.

Status : Modified

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

cve@mitre.org

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.